Titansoft 新加坡商鈦坦科技

【Job Responsibilities】

・Own the design, scalability, and reliability of the company's data platform and pipelines

・Define and implement best practices for data modeling, orchestration, and data warehouse architecture. ・Work closely with Product, data scientists, and Infra teams to define data strategy.

・Initiate the adoption of MLOps practices: design and set up the framework for deploying, monitoring, and scaling ML/DL models in production.

【Skills】

■ Must-have

・Proficient in SQL and Python.

・Proven experience in designing and maintaining large-scale data pipelines and data warehouses (GCP preferred).

・Strong knowledge of schema design, structured/unstructured data handling, and performance optimization.

・Solid understanding of CI/CD and version control (Git).

・Familiarity with Unix/Linux environments.

・Experience with workflow orchestration tools (e.g., Airflow, dbt, Prefect). ・Experience in defining architecture and technical direction for data platforms.

■ Nice-to-have

・Hands-on experience with MLOps practices and tools (e.g., MLflow, Kubeflow).

・Exposure to real-time/streaming data pipelines (e.g., Kafka, Pub/Sub). ・Experience with Kubernetes for scalable data and ML workloads.